Agentic AI Engineer at Quadrant Technologies | Torre
Agentic AI Engineer
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Quadrant Technologies

Agentic AI Engineer

Quadrant Technologies
Emma
Emma
You'll engineer intelligent, scalable AI agent systems, integrating them with enterprise platforms on AWS.
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Full-time

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Remote (anywhere)
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Shared by
Jose Aldave
 14 days ago

Requirements and responsibilities

Role OverviewWe are seeking a highly skilled AI Backend Engineer with expertise in #.NET (C#), #Python, and API-driven architectures, combined with hands-on experience in Agentic AI frameworks (#LangChain, #AutoGen, or similar). The role involves building intelligent, scalable backend systems that leverage AI agents, integrate with enterprise platforms, and operate within event-driven, cloud-native environments on AWS.Key ResponsibilitiesDesign and develop scalable backend services using .NET (C#) and PythonBuild and integrate AI-powered agentic systems using frameworks such as LangChain, AutoGen, or similarImplement Model Context Protocol (MCP) for managing AI model interactions and context orchestrationDevelop API-first architectures, exposing secure and scalable RESTful servicesDesign and implement event-driven architectures using messaging systems (e.g., SQS)Integrate AI services with enterprise systems through REST APIs and asynchronous workflowsDevelop and manage registry and orchestration patterns for AI agents and servicesDeploy and manage applications on AWS (Lambda, S3, SQS) ensuring scalability and fault toleranceCollaborate with data, frontend, and product teams to deliver end-to-end AI-enabled solutionsEnsure adherence to secure coding practices, performance optimization, and compliance standardsParticipate in code reviews, testing, and CI/CD pipelinesMaintain technical documentation for APIs, AI workflows, and system architectureRequired Skills & Qualifications6-8 years of experience in backend development with strong proficiency in .NET (C#) and PythonWorking knowledge of #Java (for integration or legacy system support)Hands-on experience with Agentic AI frameworks such as: LangChain, AutoGen, or similar multi-agent orchestration frameworksStrong understanding of #LLM-based application design and AI integration patternsExperience with Model Context Protocol (#MCP) or similar model orchestration approachesExpertise in API-first development, including RESTful services and API securityStrong experience in event-driven architectures (message queues, async processing)Hands-on experience with AWS services: Lambda (serverless compute), S3 (storage), SQS (messaging)Experience implementing service registry and orchestration patternsStrong understanding of microservices architecture and distributed systemsExperience with version control (Git) and CI/CD pipelinesPreferred / Nice-to-Have SkillsExperience with LLM providers (OpenAI, Anthropic, Azure OpenAI, etc.)Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)Familiarity with containerization (Docker, Kubernetes)Experience with monitoring/logging tools (CloudWatch, ELK, etc.)
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